Data Scientist- Manager
Description
This role involves developing advanced generative AI solutions, providing technical leadership to data science teams, and managing the end-to-end data science lifecycle for product features. Responsibilities include overseeing experimentation, model evaluation, and prompt engineering, while collaborating with product managers and engineering teams to implement scalable technical solutions. The manager will also promote quality and innovation, drive SDLC processes, enhance AI and RAG evaluation frameworks, and mentor junior data scientists.
What We're Looking For
Develop sophisticated generative AI solutions. Provide technical guidance to a team of data scientists. Guide the end-to-end data science lifecycle for key product features. Oversee experimentation, rigorous model evaluation, and prompt engineering and optimization. Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions. Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions. Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines. Champion and enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality. Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment.
Ideal Candidate
Minimum five years of recent experience in data science or a related machine learning field with a proven track record of delivering AI solutions into production environments. PhD or Master's degree from an accredited college or university in computer science, statistics, mathematics, or a related quantitative discipline is required.
Minimum Education
PhD or Master's degree from an accredited college or university in computer science, statistics, mathematics, or a related quantitative discipline.
Hard Skills
Soft Skills
Benefits
About the Company
KPMG LLP (Canada)
KPMG LLP is a Canadian limited liability partnership and a member firm of the KPMG global organization of independent member firms. It provides Audit, Tax, and Advisory services to public and private businesses, not-for-profit organizations, and public sector entities. With over 40 offices across Canada, KPMG leverages its deep industry knowledge to help clients navigate complex challenges and achieve sustainable growth.
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